In this podcast, we speak with Mosaic ML's Hagay Lupesko about Mixture of Experts and their new DBRX LLM. #DataScience #AI #ArtificialIntelligence https://hubs.li/Q02BnBqH0
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In this podcast, we speak with Mosaic ML's Hagay Lupesko about Mixture of Experts and their new DBRX LLM. #DataScience #AI #ArtificialIntelligence https://hubs.li/Q02y7pD00
Podcast: DBRX and Open Source Mixture of Experts LLMs with Hagay Lupesko
https://opendatascience.com
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In this podcast, we speak with Mosaic ML's Hagay Lupesko about Mixture of Experts and their new DBRX LLM. #DataScience #AI #ArtificialIntelligence https://hubs.li/Q02ywxGY0
Podcast: DBRX and Open Source Mixture of Experts LLMs with Hagay Lupesko
https://opendatascience.com
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In this episode of the AI + a16z podcast, Pinecone Founder and CEO Edo Liberty joins a16z’s Satish Talluri and Derrick Harris to discuss the promises, challenges, and opportunities for vector databases and retrieval augmented generation (RAG). #vectordatabase #RAG
Vector Databases and the Power of RAG | Andreessen Horowitz
https://a16z.com
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🎓 Transform arXiv Papers into Podcast with AI! 🧠✍️ "AI Paper Reviews by AI" aims to automate the process of generating comprehensive reviews from arXiv papers and turning them into engaging Podcast. With a suite of powerful tools. Curious about how it works? Check out AI Paper Reviewer, which leverages this project to auto-generate Podcast from Hugging Face Daily Papers. Code : https://lnkd.in/dU7Pz_xG Author : Park Chansung 🎥 Watch the demo above to see it in action! 🚀
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"Making progress on RAG, making progress on information retrieval, and making progress on making AI more knowledgeable and less hallucinatory and more dependable, is a complete greenfield today. There’s an infinite amount of innovation that will have to go into it." — Edo Liberty Listen to the full podcast: https://lnkd.in/gGDaq8nX
Vector Databases and the Power of RAG | Andreessen Horowitz
https://a16z.com
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Last week, I had the pleasure of meeting Neil Leiser while visiting Paris 🇫🇷. Neil is a data scientist and hosts one of my favorite AI podcasts, "The AI Stories." ❤️ The AI Stories podcast brings top data scientists and practitioners from around the world to talk about a variety of data science topics such as machine learning, MLOps, LLM, deep learning, etc. In addition to his podcast, Neil shares great data science content, and I highly recommend following him! #AI #datascience #machinelearning #llm #mlops
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A great discussion on #explainable #ml and #ai with #causality with Serg Masís and Mark Moyou, PhD. Listen to how to get to #trustworthyai. Thanks for sharing! 🔗 We, at Alstom, use #causality for many applications in the mobility industry, based on the same concept nicely summarized by Serg Masís, "only by looking at both data && domain knowledge, you can find causal relationship(s)". Alexandre Trilla, Ossee Josepha YIBOE, Rajesh Rajendran, Quentin Possamaï
Sr. Data Scientist @NVIDIA | Host @ AI Portfolio Podcast, Caribbean Tech Pioneers Podcast, Progress Guaranteed Podcast | Director @Optimized AI Conference
Domain expertise has tremendous value in #explainable machine learning. Causality is the bridge to aligning this domain knowledge and understanding why models are guided to a particular response. In episode 12 of the #aiportfolio podcast Serg Masís and I discuss explainable ai and #llms. If you have watched Jon Krohn's show, Super Data Science Podcast, lots of the great technical questions come from Serg Masís, so his insights into #machinelearning in highly regulated environments can expand your knowledge on the topic. One thing that stuck out to me is that if you have an exploration mindset, you can leverage models to help you do better Exploratory Data Analysis vs just visualizing statistics on the data. Links to show are in the comments
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How do you decide whether you need a specialty database or can get by with a traditional database extended with a vector search? Stephen Batifol, Developer Advocate at Zilliz, explains that it depends on the use case. For smaller scenarios, PostgreSQL’s pgvector is just fine. However, it quickly reaches its limits when it comes to handling higher loads and supporting a larger number of indexes. 👉 Tune in for the full podcast episode here: https://bit.ly/4cipUaF #SovereignDBaaSDecoded #DBaaS #AI #VectorDatabases
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Domain expertise has tremendous value in #explainable machine learning. Causality is the bridge to aligning this domain knowledge and understanding why models are guided to a particular response. In episode 12 of the #aiportfolio podcast Serg Masís and I discuss explainable ai and #llms. If you have watched Jon Krohn's show, Super Data Science Podcast, lots of the great technical questions come from Serg Masís, so his insights into #machinelearning in highly regulated environments can expand your knowledge on the topic. One thing that stuck out to me is that if you have an exploration mindset, you can leverage models to help you do better Exploratory Data Analysis vs just visualizing statistics on the data. Links to show are in the comments
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Last week, we had Laura Baldwin, president of O’Reilly Media, as our latest ‘Tech Connects’ podcast guest. We devoted quite a bit of our discussion to how O’Reilly Media, which produces training for tech professionals, is integrating artificial intelligence (AI) into its tech stack and offerings. Here’s the full video of our discussion for your viewing pleasure, along with choice transcript excerpts and a summary. #podcast #AI #jobskills
‘Tech Connects’ Video, Transcript: Laura Baldwin, President of O’Reilly Media
dice.com
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